困难的

M. Sawyer
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引用次数: 3

摘要

Wittenoom紫橄榄石矿的间皮瘤产生一系列依赖于延迟时间和肺清除率值的估计。虽然已公布的数据表明,至少有20年左右的滞后期,但要覆盖大多数病例,还需要另外30年。此外,由于肺部纤维的清除而降低毒性的假设是推测性的。de Klerk等人使用基于滞后时间和暴露变量的模型估计了未来的Wittenoom病例,但他们的预测略高于Berry的预测。由于政府当局、工业界、工人和社区对过去接触石棉引起的间皮瘤的未来发生非常感兴趣,因此这些估计的准确性非常重要。从澳大利亚间皮瘤统计数据中获得的职业史信息中,提出了一种替代预测方法,使用自首次接触石棉以来的时间滞后期分布假设在1980-5年收集的Wittenoom病例中有类似的延迟分布,就有可能计算出预计来自该矿的病例总数和每个时间段的预计病例数。例如,为了计算1940- 1994年就业期间预计的间皮瘤总数,使用1980- 1985年期间记录的两个观察病例和就业中点,得出潜伏期为37545 -5年。根据Ferguson等人的滞后数据2,绘制了自首次暴露以来累计病例百分比与滞后时间的图表,并据此估计这两个病例占13%(34%减去21%),因此预测总数为13.3。计算在1991-5期间(52-5-47-5年的滞后)发生的1940-5雇员的预期病例数,得到13-3或1-3的11%(88%减去78%)。表1显示了整个数据集。这种方法的不确定之处在于,它包括了受环境影响的情况,并采取了一种简化的观点,即在矿山和工厂的经营期间,年龄、特定职业和受环境影响的分布是相似的,所有这些都是已知的不正确的此外,它还假设Wittenoom群体与整个澳大利亚人口之间存在兼容性。然而,与1986- 1990年澳大利亚登记册报告的59例病例相比,这些估计(71例)似乎是合理的。这些登记记录没有被用于计算,因为它们没有像1980-5年的数据那样严格收集,因此可能会遗漏病例,而且它们所包含的职业历史信息也不太详细。”表2给出了各种方法估算值的比较。比例潜伏期计算方法从6505名男性和411名女性劳动力和过去的居民中预测了525例间皮瘤;1986年至2020年期间将发生366例病例,1991年至1995年期间将达到高峰,并在未来25年内逐渐减少。这与Berry提出的最可能值的范围和分布非常吻合。A罗杰斯国家职业健康与安全研究所,邮政信箱58号,悉尼,新南威尔士州2001,澳大利亚
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Difficult
mesothelioma from the Wittenoom crocidolite mine produce a range of estimates dependent on the values of lag time and lung clearance rates. Although published data suggest a minimum lag period of around 20 years there is considerable spread of another 30 years to cover most cases. Also, the assumption of reduced toxicity due to clearance of fibres from the lung is speculative. de Klerk et al' have estimated future Wittenoom cases using a model based on lag time and exposure variables but their predictions are somewhat higher than Berry's. As the future occurrence of mesothelioma due to past exposure to asbestos is of great interest to government authorities, industry, workers, and the community, the accuracy of these estimates is of importance. An alternative predictive approach is proposed using the distribution of time lag period since first asbestos exposure derived from information obtained in occupational histories from the Australian mesothelioma statistics.2 Assuming a similar latency distribution in the Wittenoom cases collected in 1980-5, it is possible to calculate the total number of cases expected from the mine and the number expected in each time period. For example, to calculate the total number of mesotheliomas expected for an employment period 1940-4, use the two observed cases recorded from this period in 1980-5 and the midpoint of employment to yield a latency of 37 542-5 years. From the lag data in Ferguson et al2 prepare a graph of the cumulative percentage of cases v lag time since first exposure and use this to estimate that these two cases represent 13% (34% less 21%), hence predicting a total of 13 3. Calculation of the expected cases from the 1940-5 employees occurring in the time period 1991-5 (lag of 52-5-47-5 years) gives 11% (88% less 78%) of 13-3 cases or 1-3. Table 1 shows the overall data set. The uncertainties in such an approach is that it includes environmentally exposed cases and takes a simplified view that there has been a similar distribution of age, the specific occupations, and exposures during the period of operation of the mine and mill, all of which are known to be incorrect.34 Also it assumes compatibility between the Wittenoom group and the whole Australian population. The estimates (71) appear reasonable, however, when compared with the 59 cases reported to the Australian Register in 1986-90. These register records were not used in the calculation as they were not collected with the same rigour as the 1980-5 data and hence cases may have been missed and they are known to contain less detailed information on occupational history.' Table 2 gives a comparison of the estimates from the various methods. The proportional latency calculation method predicts a total of 525 mesotheliomas from the 6505 male and 411 female workforce and past residents; 366 cases will occur in the period 1986-2020, numbers will peak in the period 1991-1995, and tail off over the next 25 years. This fits comfortably in the range and distribution of most likely values presented by Berry. A ROGERS National Institute of Occupational Health and Safety, GPO Box 58, Sydney, NSW 2001, Australia
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